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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference ECCV 2024 Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024 SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis CVPR 2024 Supervised Matrix Factorization: Local Landscape Analysis and Applications ICML 2024 Suppressing Uncertainty in Gaze Estimation AAAI 2024 SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation NeurIPS 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling NeurIPS 2024 Surprise! Uniform Information Density Isn’t the Whole Story: Predicting Surprisal Contours in Long-form Discourse EMNLP 2024 Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024 Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024 Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024 SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024 SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective CVPR 2024 SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS ICLR 2024 SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning ICLR 2024 SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher ECCV 2024 Swift Sampler: Efficient Learning of Sampler by 10 Parameters NeurIPS 2024 Switchable Decision: Dynamic Neural Generation Networks ICML 2024 Switched Flow Matching: Eliminating Singularities via Switching ODEs ICML 2024 SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning ICLR 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024 Symbolic Numeric Planning with Patterns AAAI 2024 Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization EMNLP 2024 Symbolic Reasoning Methods for AI Planning AAAI 2024